Recently, the Alliance for Artificial Intelligence in Healthcare (AAIH) published "The Lifecycle of an AI System in Healthcare", a whitepaper defining what healthcare is and provides guidelines on implementing artificial intelligence (AI) and machine learning (ML) in this setting.

In this episode of Talking Techniques, we speak with Oscar Rodriguez, a board member at AAIH and one of the authors of this whitepaper, to find out more about what the lifecycle of AI is, the importance of having guidelines when applying AI or ML in healthcare and what the future holds for this type of computer modeling.

Contents:

• Intro: 00:00 - 00:45
• What are some of the ways that AI is used in healthcare? 00:45 - 5:04
• What are the current limitations of using AI in healthcare settings? 5:04 - 9:28
• The lifecycle of an AI system: 9:28 - 14:04
• How did you develop these guidelines for AI in healthcare? 14:04 - 17:28
• Summary of the guidelines from the white paper: 17:28 - 19:09
• Do you think some of these guidelines could be applicable to AI outside of healthcare? 19:09 - 19:53
• Why is it important to have guidelines like these for AI and machine learning in healthcare? 19:53 - 22:11
• Why did you decide to focus on COVID-19 case studies? 22:11 - 23:05
• How do you think the pandemic has changed the way AI is used in healthcare? 23:05 - 26:26
• What's next for AI? 26:26 - 30:03

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